Identifying risk factors and disease severity in leptospirosis: A meta-analysis of clinical predictors.
Pavlo PetakhLarysa RostokaVitaliia IsevychAleksandr KamyshnyiPublished in: Tropical doctor (2023)
Leptospirosis is a bacterial zoonosis with a wide spectrum of clinical presentations. In order to identify potential risk factors and predictors of disease severity, a meta-analysis of the clinical features of severe and non-severe leptospirosis patients was conducted. PubMed was searched to collect studies on the difference in clinical characteristics of severe and nonsevere patients, and data were analyzed using Comprehensive Meta-Analysis V3 software. Results showed that patients with severe outcomes were more likely to have dyspnoea, oliguria, and hemorrhagic symptoms than nonsevere patients. Determining these predictors in the early stages of the disease could thus significantly reduce the development of severe cases and related mortality.
Keyphrases
- end stage renal disease
- risk factors
- ejection fraction
- newly diagnosed
- chronic kidney disease
- systematic review
- early onset
- peritoneal dialysis
- prognostic factors
- randomized controlled trial
- machine learning
- type diabetes
- skeletal muscle
- depressive symptoms
- cardiovascular disease
- drug induced
- cardiovascular events
- big data
- meta analyses
- sleep quality